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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

It helps developers create and maintain highly effective machine learning applications that operate in the cloud. Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

Some of the big-name companies of this kind include Facebook, Google, and Linkedin, but there are many others you can find, with even more on the horizon as digital technologies continue to evolve. A well-crafted business intelligence resume. The role of a business intelligence engineer is incredibly rich, varied, and demanding.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Maximiser, Miller Heiman and more.

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What Is Embedded Analytics?

Insight Software

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Software upgrades and maintenance are commonly included for an additional 15 to 30 percent annual fee. Pricing model: The pricing scale is dependent on several factors.